Wireless sensor networks deployed in industrial monitoring applications are required to gather information about multiple types of data (multi-dimensional) related to the environment. The primary challenge that any WSN presents is energy and latency optimization. Hence, for query resolution about a particular data push and pull methods must be efficiently employed. The A-MDMRA model stores data in multiple levels which aids in hastening the query resolution. Various types of data are also stored across all the quadrants for easier access of any attribute from anywhere in the network. In this work the model proposed in [1] has been made use of for simulation analysis using NS-3 simulation platform. A real time scenario is explained by taking volcano monitoring as the example and nodes are deployed as in the proposed approach. The simulation results indicate significant improvement in energy savings, latency and query resolution.